{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Han\Desktop\document\불평등 연구\주제30_불평등과 백신\humanities and social science communications\data\complementary_analysis_code.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}14 Sep 2024, 00:34:11

{com}. encode sido , gen(sido_1)

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. reg science inequality income_1 education housing_type occupation sex marriage age religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    24.94
{txt}       Model {c |} {res} 333.114129        26  12.8120819   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 8903.91427    17,330  .513786167   {txt}R-squared       ={res}    0.0361
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0346
{txt}       Total {c |} {res}  9237.0284    17,356  .532209519   {txt}Root MSE        =   {res} .71679

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        science{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}inequality {c |}{col 17}{res}{space 2}-.0288173{col 29}{space 2} .0059046{col 40}{space 1}   -4.88{col 49}{space 3}0.000{col 57}{space 4} -.040391{col 70}{space 3}-.0172436
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0041427{col 29}{space 2}  .003543{col 40}{space 1}    1.17{col 49}{space 3}0.242{col 57}{space 4} -.002802{col 70}{space 3} .0110873
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0166864{col 29}{space 2} .0062154{col 40}{space 1}    2.68{col 49}{space 3}0.007{col 57}{space 4} .0045037{col 70}{space 3} .0288691
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .0129474{col 29}{space 2} .0144267{col 40}{space 1}    0.90{col 49}{space 3}0.369{col 57}{space 4}-.0153304{col 70}{space 3} .0412252
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.1277423{col 29}{space 2} .0463075{col 40}{space 1}   -2.76{col 49}{space 3}0.006{col 57}{space 4}-.2185096{col 70}{space 3} -.036975
{txt}{space 12}sex {c |}{col 17}{res}{space 2}-.0095685{col 29}{space 2} .0120451{col 40}{space 1}   -0.79{col 49}{space 3}0.427{col 57}{space 4}-.0331782{col 70}{space 3} .0140412
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0141219{col 29}{space 2} .0184486{col 40}{space 1}   -0.77{col 49}{space 3}0.444{col 57}{space 4}-.0502831{col 70}{space 3} .0220392
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0174471{col 29}{space 2} .0060368{col 40}{space 1}   -2.89{col 49}{space 3}0.004{col 57}{space 4}-.0292799{col 70}{space 3}-.0056143
{txt}{space 7}religion {c |}{col 17}{res}{space 2} -.008266{col 29}{space 2} .0121733{col 40}{space 1}   -0.68{col 49}{space 3}0.497{col 57}{space 4}-.0321269{col 70}{space 3} .0155948
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} -.006918{col 29}{space 2} .0030946{col 40}{space 1}   -2.24{col 49}{space 3}0.025{col 57}{space 4}-.0129838{col 70}{space 3}-.0008522
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.0760697{col 29}{space 2} .0330862{col 40}{space 1}   -2.30{col 49}{space 3}0.022{col 57}{space 4} -.140922{col 70}{space 3}-.0112173
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2} .0572038{col 29}{space 2} .0378851{col 40}{space 1}    1.51{col 49}{space 3}0.131{col 57}{space 4}-.0170549{col 70}{space 3} .1314625
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}-.1020268{col 29}{space 2} .0409406{col 40}{space 1}   -2.49{col 49}{space 3}0.013{col 57}{space 4}-.1822745{col 70}{space 3}-.0217791
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .0830052{col 29}{space 2} .0434418{col 40}{space 1}    1.91{col 49}{space 3}0.056{col 57}{space 4}-.0021451{col 70}{space 3} .1681555
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.2447461{col 29}{space 2} .0413122{col 40}{space 1}   -5.92{col 49}{space 3}0.000{col 57}{space 4}-.3257222{col 70}{space 3}  -.16377
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} -.220601{col 29}{space 2} .0446329{col 40}{space 1}   -4.94{col 49}{space 3}0.000{col 57}{space 4}-.3080861{col 70}{space 3} -.133116
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2} .1051069{col 29}{space 2} .0380078{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4} .0306078{col 70}{space 3} .1796059
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}  .101149{col 29}{space 2} .0338676{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4} .0347651{col 70}{space 3} .1675329
{txt}세종특별자치시  {c |}{col 17}{res}{space 2}-.0259414{col 29}{space 2} .0598091{col 40}{space 1}   -0.43{col 49}{space 3}0.664{col 57}{space 4}-.1431733{col 70}{space 3} .0912905
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2}-.0930547{col 29}{space 2} .0460653{col 40}{space 1}   -2.02{col 49}{space 3}0.043{col 57}{space 4}-.1833473{col 70}{space 3}-.0027621
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .0041135{col 29}{space 2} .0381584{col 40}{space 1}    0.11{col 49}{space 3}0.914{col 57}{space 4}-.0706808{col 70}{space 3} .0789078
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2} .0971022{col 29}{space 2} .0410791{col 40}{space 1}    2.36{col 49}{space 3}0.018{col 57}{space 4} .0165831{col 70}{space 3} .1776213
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.2880369{col 29}{space 2} .0423784{col 40}{space 1}   -6.80{col 49}{space 3}0.000{col 57}{space 4}-.3711029{col 70}{space 3} -.204971
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0624453{col 29}{space 2} .0509306{col 40}{space 1}   -1.23{col 49}{space 3}0.220{col 57}{space 4}-.1622745{col 70}{space 3} .0373839
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2} .0182533{col 29}{space 2} .0432755{col 40}{space 1}    0.42{col 49}{space 3}0.673{col 57}{space 4} -.066571{col 70}{space 3} .1030776
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} -.300625{col 29}{space 2} .0448239{col 40}{space 1}   -6.71{col 49}{space 3}0.000{col 57}{space 4}-.3884844{col 70}{space 3}-.2127656
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.997939{col 29}{space 2} .0571904{col 40}{space 1}   69.91{col 49}{space 3}0.000{col 57}{space 4}  3.88584{col 70}{space 3} 4.110038
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store model_1

. 
. 
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. reg trust inequality income_1 education housing_type occupation sex marriage age religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    48.16
{txt}       Model {c |} {res} 646.768153        26  24.8756982   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 8951.44732    17,330  .516528986   {txt}R-squared       ={res}    0.0674
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0660
{txt}       Total {c |} {res} 9598.21548    17,356   .55302002   {txt}Root MSE        =   {res}  .7187

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          trust{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}inequality {c |}{col 17}{res}{space 2}-.0968164{col 29}{space 2} .0059204{col 40}{space 1}  -16.35{col 49}{space 3}0.000{col 57}{space 4}-.1084209{col 70}{space 3}-.0852118
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0159324{col 29}{space 2} .0035524{col 40}{space 1}    4.48{col 49}{space 3}0.000{col 57}{space 4} .0089693{col 70}{space 3} .0228956
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0158022{col 29}{space 2} .0062319{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4}  .003587{col 70}{space 3} .0280174
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .1350885{col 29}{space 2} .0144652{col 40}{space 1}    9.34{col 49}{space 3}0.000{col 57}{space 4} .1067354{col 70}{space 3} .1634417
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}  -.16578{col 29}{space 2} .0464309{col 40}{space 1}   -3.57{col 49}{space 3}0.000{col 57}{space 4}-.2567893{col 70}{space 3}-.0747708
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0338854{col 29}{space 2} .0120773{col 40}{space 1}    2.81{col 49}{space 3}0.005{col 57}{space 4} .0102128{col 70}{space 3} .0575581
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0591507{col 29}{space 2} .0184978{col 40}{space 1}   -3.20{col 49}{space 3}0.001{col 57}{space 4}-.0954083{col 70}{space 3}-.0228931
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0057768{col 29}{space 2} .0060529{col 40}{space 1}    0.95{col 49}{space 3}0.340{col 57}{space 4}-.0060875{col 70}{space 3} .0176412
{txt}{space 7}religion {c |}{col 17}{res}{space 2} .0403437{col 29}{space 2} .0122057{col 40}{space 1}    3.31{col 49}{space 3}0.001{col 57}{space 4} .0164192{col 70}{space 3} .0642681
{txt}{space 7}ideology {c |}{col 17}{res}{space 2}-.0093669{col 29}{space 2} .0031029{col 40}{space 1}   -3.02{col 49}{space 3}0.003{col 57}{space 4}-.0154488{col 70}{space 3}-.0032849
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2} .2855762{col 29}{space 2} .0331744{col 40}{space 1}    8.61{col 49}{space 3}0.000{col 57}{space 4}  .220551{col 70}{space 3} .3506014
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2} .4900783{col 29}{space 2} .0379861{col 40}{space 1}   12.90{col 49}{space 3}0.000{col 57}{space 4} .4156216{col 70}{space 3} .5645349
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2} .2579965{col 29}{space 2} .0410497{col 40}{space 1}    6.28{col 49}{space 3}0.000{col 57}{space 4} .1775349{col 70}{space 3} .3384581
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2}-.0289025{col 29}{space 2} .0435576{col 40}{space 1}   -0.66{col 49}{space 3}0.507{col 57}{space 4}-.1142798{col 70}{space 3} .0564748
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.1895339{col 29}{space 2} .0414224{col 40}{space 1}   -4.58{col 49}{space 3}0.000{col 57}{space 4}-.2707259{col 70}{space 3}-.1083419
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .1513041{col 29}{space 2} .0447519{col 40}{space 1}    3.38{col 49}{space 3}0.001{col 57}{space 4} .0635859{col 70}{space 3} .2390224
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2} .4765149{col 29}{space 2} .0381091{col 40}{space 1}   12.50{col 49}{space 3}0.000{col 57}{space 4} .4018173{col 70}{space 3} .5512125
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2} .3131755{col 29}{space 2} .0339579{col 40}{space 1}    9.22{col 49}{space 3}0.000{col 57}{space 4} .2466146{col 70}{space 3} .3797363
{txt}세종특별자치시  {c |}{col 17}{res}{space 2} .4641886{col 29}{space 2} .0599685{col 40}{space 1}    7.74{col 49}{space 3}0.000{col 57}{space 4} .3466442{col 70}{space 3}  .581733
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2} .3268275{col 29}{space 2} .0461881{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4} .2362942{col 70}{space 3} .4173608
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .2064467{col 29}{space 2} .0382601{col 40}{space 1}    5.40{col 49}{space 3}0.000{col 57}{space 4}  .131453{col 70}{space 3} .2814403
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2} .3206552{col 29}{space 2} .0411886{col 40}{space 1}    7.79{col 49}{space 3}0.000{col 57}{space 4} .2399215{col 70}{space 3}  .401389
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2} .3212172{col 29}{space 2} .0424914{col 40}{space 1}    7.56{col 49}{space 3}0.000{col 57}{space 4} .2379298{col 70}{space 3} .4045046
{txt}제주특별자치도  {c |}{col 17}{res}{space 2} .3161473{col 29}{space 2} .0510664{col 40}{space 1}    6.19{col 49}{space 3}0.000{col 57}{space 4}  .216052{col 70}{space 3} .4162426
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2} .3980786{col 29}{space 2} .0433908{col 40}{space 1}    9.17{col 49}{space 3}0.000{col 57}{space 4} .3130282{col 70}{space 3} .4831289
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} .4093266{col 29}{space 2} .0449434{col 40}{space 1}    9.11{col 49}{space 3}0.000{col 57}{space 4}  .321233{col 70}{space 3} .4974202
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.342591{col 29}{space 2} .0573428{col 40}{space 1}   58.29{col 49}{space 3}0.000{col 57}{space 4} 3.230193{col 70}{space 3} 3.454989
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store model_2

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. 
. 
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. coefplot (model_1), bylabel ((a) Science Trust) || (model_2), bylabel ((b) Social Trust) ||,  omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2))  keep(inequality)
{res}
{com}. 
. 
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. reg science inequality income_1 education housing_type occupation sex marriage age religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    24.94
{txt}       Model {c |} {res} 333.114129        26  12.8120819   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 8903.91427    17,330  .513786167   {txt}R-squared       ={res}    0.0361
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0346
{txt}       Total {c |} {res}  9237.0284    17,356  .532209519   {txt}Root MSE        =   {res} .71679

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        science{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}inequality {c |}{col 17}{res}{space 2}-.0288173{col 29}{space 2} .0059046{col 40}{space 1}   -4.88{col 49}{space 3}0.000{col 57}{space 4} -.040391{col 70}{space 3}-.0172436
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0041427{col 29}{space 2}  .003543{col 40}{space 1}    1.17{col 49}{space 3}0.242{col 57}{space 4} -.002802{col 70}{space 3} .0110873
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0166864{col 29}{space 2} .0062154{col 40}{space 1}    2.68{col 49}{space 3}0.007{col 57}{space 4} .0045037{col 70}{space 3} .0288691
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .0129474{col 29}{space 2} .0144267{col 40}{space 1}    0.90{col 49}{space 3}0.369{col 57}{space 4}-.0153304{col 70}{space 3} .0412252
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.1277423{col 29}{space 2} .0463075{col 40}{space 1}   -2.76{col 49}{space 3}0.006{col 57}{space 4}-.2185096{col 70}{space 3} -.036975
{txt}{space 12}sex {c |}{col 17}{res}{space 2}-.0095685{col 29}{space 2} .0120451{col 40}{space 1}   -0.79{col 49}{space 3}0.427{col 57}{space 4}-.0331782{col 70}{space 3} .0140412
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0141219{col 29}{space 2} .0184486{col 40}{space 1}   -0.77{col 49}{space 3}0.444{col 57}{space 4}-.0502831{col 70}{space 3} .0220392
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0174471{col 29}{space 2} .0060368{col 40}{space 1}   -2.89{col 49}{space 3}0.004{col 57}{space 4}-.0292799{col 70}{space 3}-.0056143
{txt}{space 7}religion {c |}{col 17}{res}{space 2} -.008266{col 29}{space 2} .0121733{col 40}{space 1}   -0.68{col 49}{space 3}0.497{col 57}{space 4}-.0321269{col 70}{space 3} .0155948
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} -.006918{col 29}{space 2} .0030946{col 40}{space 1}   -2.24{col 49}{space 3}0.025{col 57}{space 4}-.0129838{col 70}{space 3}-.0008522
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.0760697{col 29}{space 2} .0330862{col 40}{space 1}   -2.30{col 49}{space 3}0.022{col 57}{space 4} -.140922{col 70}{space 3}-.0112173
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2} .0572038{col 29}{space 2} .0378851{col 40}{space 1}    1.51{col 49}{space 3}0.131{col 57}{space 4}-.0170549{col 70}{space 3} .1314625
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}-.1020268{col 29}{space 2} .0409406{col 40}{space 1}   -2.49{col 49}{space 3}0.013{col 57}{space 4}-.1822745{col 70}{space 3}-.0217791
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .0830052{col 29}{space 2} .0434418{col 40}{space 1}    1.91{col 49}{space 3}0.056{col 57}{space 4}-.0021451{col 70}{space 3} .1681555
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.2447461{col 29}{space 2} .0413122{col 40}{space 1}   -5.92{col 49}{space 3}0.000{col 57}{space 4}-.3257222{col 70}{space 3}  -.16377
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} -.220601{col 29}{space 2} .0446329{col 40}{space 1}   -4.94{col 49}{space 3}0.000{col 57}{space 4}-.3080861{col 70}{space 3} -.133116
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2} .1051069{col 29}{space 2} .0380078{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4} .0306078{col 70}{space 3} .1796059
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}  .101149{col 29}{space 2} .0338676{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4} .0347651{col 70}{space 3} .1675329
{txt}세종특별자치시  {c |}{col 17}{res}{space 2}-.0259414{col 29}{space 2} .0598091{col 40}{space 1}   -0.43{col 49}{space 3}0.664{col 57}{space 4}-.1431733{col 70}{space 3} .0912905
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2}-.0930547{col 29}{space 2} .0460653{col 40}{space 1}   -2.02{col 49}{space 3}0.043{col 57}{space 4}-.1833473{col 70}{space 3}-.0027621
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .0041135{col 29}{space 2} .0381584{col 40}{space 1}    0.11{col 49}{space 3}0.914{col 57}{space 4}-.0706808{col 70}{space 3} .0789078
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2} .0971022{col 29}{space 2} .0410791{col 40}{space 1}    2.36{col 49}{space 3}0.018{col 57}{space 4} .0165831{col 70}{space 3} .1776213
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.2880369{col 29}{space 2} .0423784{col 40}{space 1}   -6.80{col 49}{space 3}0.000{col 57}{space 4}-.3711029{col 70}{space 3} -.204971
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0624453{col 29}{space 2} .0509306{col 40}{space 1}   -1.23{col 49}{space 3}0.220{col 57}{space 4}-.1622745{col 70}{space 3} .0373839
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2} .0182533{col 29}{space 2} .0432755{col 40}{space 1}    0.42{col 49}{space 3}0.673{col 57}{space 4} -.066571{col 70}{space 3} .1030776
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} -.300625{col 29}{space 2} .0448239{col 40}{space 1}   -6.71{col 49}{space 3}0.000{col 57}{space 4}-.3884844{col 70}{space 3}-.2127656
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.997939{col 29}{space 2} .0571904{col 40}{space 1}   69.91{col 49}{space 3}0.000{col 57}{space 4}  3.88584{col 70}{space 3} 4.110038
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. 
. 
. margins, at(inequality =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    17,357
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 3.911548{col 26}{space 2} .0153816{col 37}{space 1}  254.30{col 46}{space 3}0.000{col 54}{space 4} 3.881399{col 67}{space 3} 3.941698
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.882731{col 26}{space 2} .0100775{col 37}{space 1}  385.29{col 46}{space 3}0.000{col 54}{space 4} 3.862978{col 67}{space 3} 3.902484
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.853914{col 26}{space 2} .0060205{col 37}{space 1}  640.13{col 46}{space 3}0.000{col 54}{space 4} 3.842113{col 67}{space 3} 3.865714
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 3.825096{col 26}{space 2} .0063771{col 37}{space 1}  599.81{col 46}{space 3}0.000{col 54}{space 4} 3.812596{col 67}{space 3} 3.837596
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 3.796279{col 26}{space 2} .0107153{col 37}{space 1}  354.28{col 46}{space 3}0.000{col 54}{space 4} 3.775276{col 67}{space 3} 3.817282
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, recastci(rarea)

{text}{p 2 6 2}Variables that uniquely identify margins: inequality{p_end}
{res}
{com}. 
. 
. 
. 
. 
. reg trust inequality income_1 education housing_type occupation sex marriage age religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    48.16
{txt}       Model {c |} {res} 646.768153        26  24.8756982   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 8951.44732    17,330  .516528986   {txt}R-squared       ={res}    0.0674
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0660
{txt}       Total {c |} {res} 9598.21548    17,356   .55302002   {txt}Root MSE        =   {res}  .7187

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          trust{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}inequality {c |}{col 17}{res}{space 2}-.0968164{col 29}{space 2} .0059204{col 40}{space 1}  -16.35{col 49}{space 3}0.000{col 57}{space 4}-.1084209{col 70}{space 3}-.0852118
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0159324{col 29}{space 2} .0035524{col 40}{space 1}    4.48{col 49}{space 3}0.000{col 57}{space 4} .0089693{col 70}{space 3} .0228956
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0158022{col 29}{space 2} .0062319{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4}  .003587{col 70}{space 3} .0280174
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .1350885{col 29}{space 2} .0144652{col 40}{space 1}    9.34{col 49}{space 3}0.000{col 57}{space 4} .1067354{col 70}{space 3} .1634417
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}  -.16578{col 29}{space 2} .0464309{col 40}{space 1}   -3.57{col 49}{space 3}0.000{col 57}{space 4}-.2567893{col 70}{space 3}-.0747708
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0338854{col 29}{space 2} .0120773{col 40}{space 1}    2.81{col 49}{space 3}0.005{col 57}{space 4} .0102128{col 70}{space 3} .0575581
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0591507{col 29}{space 2} .0184978{col 40}{space 1}   -3.20{col 49}{space 3}0.001{col 57}{space 4}-.0954083{col 70}{space 3}-.0228931
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0057768{col 29}{space 2} .0060529{col 40}{space 1}    0.95{col 49}{space 3}0.340{col 57}{space 4}-.0060875{col 70}{space 3} .0176412
{txt}{space 7}religion {c |}{col 17}{res}{space 2} .0403437{col 29}{space 2} .0122057{col 40}{space 1}    3.31{col 49}{space 3}0.001{col 57}{space 4} .0164192{col 70}{space 3} .0642681
{txt}{space 7}ideology {c |}{col 17}{res}{space 2}-.0093669{col 29}{space 2} .0031029{col 40}{space 1}   -3.02{col 49}{space 3}0.003{col 57}{space 4}-.0154488{col 70}{space 3}-.0032849
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2} .2855762{col 29}{space 2} .0331744{col 40}{space 1}    8.61{col 49}{space 3}0.000{col 57}{space 4}  .220551{col 70}{space 3} .3506014
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2} .4900783{col 29}{space 2} .0379861{col 40}{space 1}   12.90{col 49}{space 3}0.000{col 57}{space 4} .4156216{col 70}{space 3} .5645349
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2} .2579965{col 29}{space 2} .0410497{col 40}{space 1}    6.28{col 49}{space 3}0.000{col 57}{space 4} .1775349{col 70}{space 3} .3384581
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2}-.0289025{col 29}{space 2} .0435576{col 40}{space 1}   -0.66{col 49}{space 3}0.507{col 57}{space 4}-.1142798{col 70}{space 3} .0564748
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.1895339{col 29}{space 2} .0414224{col 40}{space 1}   -4.58{col 49}{space 3}0.000{col 57}{space 4}-.2707259{col 70}{space 3}-.1083419
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .1513041{col 29}{space 2} .0447519{col 40}{space 1}    3.38{col 49}{space 3}0.001{col 57}{space 4} .0635859{col 70}{space 3} .2390224
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2} .4765149{col 29}{space 2} .0381091{col 40}{space 1}   12.50{col 49}{space 3}0.000{col 57}{space 4} .4018173{col 70}{space 3} .5512125
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2} .3131755{col 29}{space 2} .0339579{col 40}{space 1}    9.22{col 49}{space 3}0.000{col 57}{space 4} .2466146{col 70}{space 3} .3797363
{txt}세종특별자치시  {c |}{col 17}{res}{space 2} .4641886{col 29}{space 2} .0599685{col 40}{space 1}    7.74{col 49}{space 3}0.000{col 57}{space 4} .3466442{col 70}{space 3}  .581733
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2} .3268275{col 29}{space 2} .0461881{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4} .2362942{col 70}{space 3} .4173608
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .2064467{col 29}{space 2} .0382601{col 40}{space 1}    5.40{col 49}{space 3}0.000{col 57}{space 4}  .131453{col 70}{space 3} .2814403
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2} .3206552{col 29}{space 2} .0411886{col 40}{space 1}    7.79{col 49}{space 3}0.000{col 57}{space 4} .2399215{col 70}{space 3}  .401389
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2} .3212172{col 29}{space 2} .0424914{col 40}{space 1}    7.56{col 49}{space 3}0.000{col 57}{space 4} .2379298{col 70}{space 3} .4045046
{txt}제주특별자치도  {c |}{col 17}{res}{space 2} .3161473{col 29}{space 2} .0510664{col 40}{space 1}    6.19{col 49}{space 3}0.000{col 57}{space 4}  .216052{col 70}{space 3} .4162426
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2} .3980786{col 29}{space 2} .0433908{col 40}{space 1}    9.17{col 49}{space 3}0.000{col 57}{space 4} .3130282{col 70}{space 3} .4831289
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} .4093266{col 29}{space 2} .0449434{col 40}{space 1}    9.11{col 49}{space 3}0.000{col 57}{space 4}  .321233{col 70}{space 3} .4974202
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.342591{col 29}{space 2} .0573428{col 40}{space 1}   58.29{col 49}{space 3}0.000{col 57}{space 4} 3.230193{col 70}{space 3} 3.454989
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. 
. 
. margins, at(inequality =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    17,357
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  3.72268{col 26}{space 2} .0154226{col 37}{space 1}  241.38{col 46}{space 3}0.000{col 54}{space 4}  3.69245{col 67}{space 3}  3.75291
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.625864{col 26}{space 2} .0101043{col 37}{space 1}  358.84{col 46}{space 3}0.000{col 54}{space 4} 3.606058{col 67}{space 3} 3.645669
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.529047{col 26}{space 2} .0060366{col 37}{space 1}  584.61{col 46}{space 3}0.000{col 54}{space 4} 3.517215{col 67}{space 3}  3.54088
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 3.432231{col 26}{space 2} .0063941{col 37}{space 1}  536.78{col 46}{space 3}0.000{col 54}{space 4} 3.419698{col 67}{space 3} 3.444764
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 3.335415{col 26}{space 2} .0107439{col 37}{space 1}  310.45{col 46}{space 3}0.000{col 54}{space 4} 3.314355{col 67}{space 3} 3.356474
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, recastci(rarea)

{text}{p 2 6 2}Variables that uniquely identify margins: inequality{p_end}
{res}
{com}. 
. 
. 
. 
. 
. 
. 
. reg covid_trust science sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    37.00
{txt}       Model {c |} {res} 849.838014        26  32.6860774   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 15308.6065    17,330  .883358715   {txt}R-squared       ={res}    0.0526
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0512
{txt}       Total {c |} {res} 16158.4445    17,356  .931000492   {txt}Root MSE        =   {res} .93987

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    covid_trust{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}science {c |}{col 17}{res}{space 2} .1557379{col 29}{space 2} .0099536{col 40}{space 1}   15.65{col 49}{space 3}0.000{col 57}{space 4} .1362278{col 70}{space 3} .1752479
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0166567{col 29}{space 2} .0157939{col 40}{space 1}    1.05{col 49}{space 3}0.292{col 57}{space 4}-.0143009{col 70}{space 3} .0476143
{txt}{space 7}marriage {c |}{col 17}{res}{space 2} .0006079{col 29}{space 2} .0241905{col 40}{space 1}    0.03{col 49}{space 3}0.980{col 57}{space 4} -.046808{col 70}{space 3} .0480237
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0026072{col 29}{space 2} .0079166{col 40}{space 1}    0.33{col 49}{space 3}0.742{col 57}{space 4}-.0129101{col 70}{space 3} .0181246
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2}-.0417389{col 29}{space 2} .0189027{col 40}{space 1}   -2.21{col 49}{space 3}0.027{col 57}{space 4}  -.07879{col 70}{space 3}-.0046877
{txt}{space 6}education {c |}{col 17}{res}{space 2}-.0048092{col 29}{space 2} .0081509{col 40}{space 1}   -0.59{col 49}{space 3}0.555{col 57}{space 4}-.0207857{col 70}{space 3} .0111673
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.1178474{col 29}{space 2} .0607213{col 40}{space 1}   -1.94{col 49}{space 3}0.052{col 57}{space 4}-.2368673{col 70}{space 3} .0011726
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} -.007015{col 29}{space 2} .0046453{col 40}{space 1}   -1.51{col 49}{space 3}0.131{col 57}{space 4}-.0161202{col 70}{space 3} .0020902
{txt}{space 7}religion {c |}{col 17}{res}{space 2} .0151956{col 29}{space 2} .0159581{col 40}{space 1}    0.95{col 49}{space 3}0.341{col 57}{space 4}-.0160839{col 70}{space 3} .0464752
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} .0136528{col 29}{space 2} .0040543{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4} .0057059{col 70}{space 3} .0215997
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.2046216{col 29}{space 2} .0433726{col 40}{space 1}   -4.72{col 49}{space 3}0.000{col 57}{space 4}-.2896363{col 70}{space 3}-.1196069
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0221252{col 29}{space 2} .0496791{col 40}{space 1}   -0.45{col 49}{space 3}0.656{col 57}{space 4}-.1195012{col 70}{space 3} .0752508
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2} .0792105{col 29}{space 2}  .053631{col 40}{space 1}    1.48{col 49}{space 3}0.140{col 57}{space 4}-.0259117{col 70}{space 3} .1843327
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .1041088{col 29}{space 2} .0569659{col 40}{space 1}    1.83{col 49}{space 3}0.068{col 57}{space 4}-.0075501{col 70}{space 3} .2157677
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2} .1826586{col 29}{space 2} .0541632{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4} .0764932{col 70}{space 3} .2888241
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .0951575{col 29}{space 2} .0584958{col 40}{space 1}    1.63{col 49}{space 3}0.104{col 57}{space 4}-.0195001{col 70}{space 3} .2098152
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2} .1724812{col 29}{space 2} .0498472{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4} .0747757{col 70}{space 3} .2701868
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}-.0630831{col 29}{space 2} .0444002{col 40}{space 1}   -1.42{col 49}{space 3}0.155{col 57}{space 4} -.150112{col 70}{space 3} .0239457
{txt}세종특별자치시  {c |}{col 17}{res}{space 2} .1554911{col 29}{space 2} .0783951{col 40}{space 1}    1.98{col 49}{space 3}0.047{col 57}{space 4} .0018288{col 70}{space 3} .3091533
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2} .0968095{col 29}{space 2} .0604083{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4} -.021597{col 70}{space 3}  .215216
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .0264227{col 29}{space 2} .0500293{col 40}{space 1}    0.53{col 49}{space 3}0.597{col 57}{space 4}-.0716397{col 70}{space 3} .1244851
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2} -.599764{col 29}{space 2} .0538713{col 40}{space 1}  -11.13{col 49}{space 3}0.000{col 57}{space 4}-.7053572{col 70}{space 3}-.4941709
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.3591405{col 29}{space 2} .0556189{col 40}{space 1}   -6.46{col 49}{space 3}0.000{col 57}{space 4}-.4681592{col 70}{space 3}-.2501219
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0748834{col 29}{space 2} .0667839{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4}-.2057867{col 70}{space 3} .0560198
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.1997005{col 29}{space 2} .0566647{col 40}{space 1}   -3.52{col 49}{space 3}0.000{col 57}{space 4}-.3107691{col 70}{space 3}-.0886319
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2}-.3049063{col 29}{space 2} .0588237{col 40}{space 1}   -5.18{col 49}{space 3}0.000{col 57}{space 4}-.4202066{col 70}{space 3} -.189606
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.802849{col 29}{space 2} .0798309{col 40}{space 1}   35.11{col 49}{space 3}0.000{col 57}{space 4} 2.646372{col 70}{space 3} 2.959325
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store model_1

. 
. 
. 
. reg covid_trust trust sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    27.75
{txt}       Model {c |} {res} 645.784217        26  24.8378545   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 15512.6603    17,330  .895133314   {txt}R-squared       ={res}    0.0400
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0385
{txt}       Total {c |} {res} 16158.4445    17,356  .931000492   {txt}Root MSE        =   {res} .94611

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    covid_trust{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}trust {c |}{col 17}{res}{space 2} .0366375{col 29}{space 2} .0099237{col 40}{space 1}    3.69{col 49}{space 3}0.000{col 57}{space 4} .0171862{col 70}{space 3} .0560889
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0139365{col 29}{space 2} .0159023{col 40}{space 1}    0.88{col 49}{space 3}0.381{col 57}{space 4}-.0172337{col 70}{space 3} .0451066
{txt}{space 7}marriage {c |}{col 17}{res}{space 2} .0005623{col 29}{space 2} .0243582{col 40}{space 1}    0.02{col 49}{space 3}0.982{col 57}{space 4}-.0471822{col 70}{space 3} .0483067
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0003374{col 29}{space 2} .0079673{col 40}{space 1}   -0.04{col 49}{space 3}0.966{col 57}{space 4} -.015954{col 70}{space 3} .0152792
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2}-.0445814{col 29}{space 2} .0190815{col 40}{space 1}   -2.34{col 49}{space 3}0.019{col 57}{space 4} -.081983{col 70}{space 3}-.0071798
{txt}{space 6}education {c |}{col 17}{res}{space 2}-.0027771{col 29}{space 2}  .008205{col 40}{space 1}   -0.34{col 49}{space 3}0.735{col 57}{space 4}-.0188597{col 70}{space 3} .0133055
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.1315298{col 29}{space 2} .0611307{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4} -.251352{col 70}{space 3}-.0117075
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2}-.0069446{col 29}{space 2} .0046789{col 40}{space 1}   -1.48{col 49}{space 3}0.138{col 57}{space 4}-.0161157{col 70}{space 3} .0022266
{txt}{space 7}religion {c |}{col 17}{res}{space 2} .0124731{col 29}{space 2} .0160701{col 40}{space 1}    0.78{col 49}{space 3}0.438{col 57}{space 4}-.0190259{col 70}{space 3} .0439722
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} .0129402{col 29}{space 2} .0040814{col 40}{space 1}    3.17{col 49}{space 3}0.002{col 57}{space 4} .0049402{col 70}{space 3} .0209401
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.2270845{col 29}{space 2} .0437353{col 40}{space 1}   -5.19{col 49}{space 3}0.000{col 57}{space 4}-.3128101{col 70}{space 3} -.141359
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0311544{col 29}{space 2} .0502434{col 40}{space 1}   -0.62{col 49}{space 3}0.535{col 57}{space 4}-.1296365{col 70}{space 3} .0673277
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2} .0535531{col 29}{space 2}  .054022{col 40}{space 1}    0.99{col 49}{space 3}0.322{col 57}{space 4}-.0523355{col 70}{space 3} .1594418
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2}  .118158{col 29}{space 2} .0573384{col 40}{space 1}    2.06{col 49}{space 3}0.039{col 57}{space 4} .0057689{col 70}{space 3} .2305471
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2} .1511622{col 29}{space 2} .0545082{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4} .0443207{col 70}{space 3} .2580038
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2}  .054902{col 29}{space 2} .0588496{col 40}{space 1}    0.93{col 49}{space 3}0.351{col 57}{space 4}-.0604493{col 70}{space 3} .1702532
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2}  .171369{col 29}{space 2} .0503876{col 40}{space 1}    3.40{col 49}{space 3}0.001{col 57}{space 4} .0726042{col 70}{space 3} .2701337
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}-.0589589{col 29}{space 2}  .044782{col 40}{space 1}   -1.32{col 49}{space 3}0.188{col 57}{space 4}-.1467361{col 70}{space 3} .0288182
{txt}세종특별자치시  {c |}{col 17}{res}{space 2} .1347006{col 29}{space 2} .0790656{col 40}{space 1}    1.70{col 49}{space 3}0.088{col 57}{space 4} -.020276{col 70}{space 3} .2896772
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2} .0703751{col 29}{space 2} .0608908{col 40}{space 1}    1.16{col 49}{space 3}0.248{col 57}{space 4} -.048977{col 70}{space 3} .1897272
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .0194138{col 29}{space 2} .0503997{col 40}{space 1}    0.39{col 49}{space 3}0.700{col 57}{space 4}-.0793748{col 70}{space 3} .1182024
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2}-.5964309{col 29}{space 2} .0543115{col 40}{space 1}  -10.98{col 49}{space 3}0.000{col 57}{space 4}-.7028869{col 70}{space 3} -.489975
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.4159738{col 29}{space 2} .0559898{col 40}{space 1}   -7.43{col 49}{space 3}0.000{col 57}{space 4}-.5257194{col 70}{space 3}-.3062281
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0962256{col 29}{space 2} .0672961{col 40}{space 1}   -1.43{col 49}{space 3}0.153{col 57}{space 4}-.2281328{col 70}{space 3} .0356815
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.2118065{col 29}{space 2} .0571532{col 40}{space 1}   -3.71{col 49}{space 3}0.000{col 57}{space 4}-.3238327{col 70}{space 3}-.0997804
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2}-.3669513{col 29}{space 2} .0592578{col 40}{space 1}   -6.19{col 49}{space 3}0.000{col 57}{space 4}-.4831027{col 70}{space 3}   -.2508
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.299678{col 29}{space 2} .0762896{col 40}{space 1}   43.25{col 49}{space 3}0.000{col 57}{space 4} 3.150143{col 70}{space 3} 3.449213
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store model_2

. 
. 
. 
. reg covid_vac science sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    35.46
{txt}       Model {c |} {res} 40.6015307        26  1.56159733   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 763.260888    17,330  .044042752   {txt}R-squared       ={res}    0.0505
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0491
{txt}       Total {c |} {res} 803.862419    17,356  .046316111   {txt}Root MSE        =   {res} .20986

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      covid_vac{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}science {c |}{col 17}{res}{space 2} .0090721{col 29}{space 2} .0022225{col 40}{space 1}    4.08{col 49}{space 3}0.000{col 57}{space 4} .0047157{col 70}{space 3} .0134285
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0110886{col 29}{space 2} .0035266{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4}  .004176{col 70}{space 3} .0180011
{txt}{space 7}marriage {c |}{col 17}{res}{space 2} -.039405{col 29}{space 2} .0054015{col 40}{space 1}   -7.30{col 49}{space 3}0.000{col 57}{space 4}-.0499924{col 70}{space 3}-.0288175
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0189549{col 29}{space 2} .0017677{col 40}{space 1}   10.72{col 49}{space 3}0.000{col 57}{space 4}   .01549{col 70}{space 3} .0224198
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .0159064{col 29}{space 2} .0042208{col 40}{space 1}    3.77{col 49}{space 3}0.000{col 57}{space 4} .0076333{col 70}{space 3} .0241796
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0071556{col 29}{space 2}   .00182{col 40}{space 1}    3.93{col 49}{space 3}0.000{col 57}{space 4} .0035882{col 70}{space 3}  .010723
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.0136206{col 29}{space 2} .0135584{col 40}{space 1}   -1.00{col 49}{space 3}0.315{col 57}{space 4}-.0401965{col 70}{space 3} .0129553
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0080211{col 29}{space 2} .0010372{col 40}{space 1}    7.73{col 49}{space 3}0.000{col 57}{space 4}  .005988{col 70}{space 3} .0100542
{txt}{space 7}religion {c |}{col 17}{res}{space 2}-.0005788{col 29}{space 2} .0035633{col 40}{space 1}   -0.16{col 49}{space 3}0.871{col 57}{space 4}-.0075632{col 70}{space 3} .0064057
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} -.001483{col 29}{space 2} .0009053{col 40}{space 1}   -1.64{col 49}{space 3}0.101{col 57}{space 4}-.0032575{col 70}{space 3} .0002915
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.0271426{col 29}{space 2} .0096847{col 40}{space 1}   -2.80{col 49}{space 3}0.005{col 57}{space 4}-.0461255{col 70}{space 3}-.0081597
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0036181{col 29}{space 2} .0110928{col 40}{space 1}   -0.33{col 49}{space 3}0.744{col 57}{space 4}-.0253612{col 70}{space 3}  .018125
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}-.0207231{col 29}{space 2} .0119753{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4}-.0441958{col 70}{space 3} .0027496
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .0015904{col 29}{space 2} .0127199{col 40}{space 1}    0.13{col 49}{space 3}0.900{col 57}{space 4}-.0233419{col 70}{space 3} .0265227
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.0205373{col 29}{space 2} .0120941{col 40}{space 1}   -1.70{col 49}{space 3}0.090{col 57}{space 4} -.044243{col 70}{space 3} .0031683
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2}  .010748{col 29}{space 2} .0130615{col 40}{space 1}    0.82{col 49}{space 3}0.411{col 57}{space 4}-.0148538{col 70}{space 3} .0363499
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2}-.0164829{col 29}{space 2} .0111304{col 40}{space 1}   -1.48{col 49}{space 3}0.139{col 57}{space 4}-.0382996{col 70}{space 3} .0053337
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}-.0275411{col 29}{space 2} .0099141{col 40}{space 1}   -2.78{col 49}{space 3}0.005{col 57}{space 4}-.0469738{col 70}{space 3}-.0081085
{txt}세종특별자치시  {c |}{col 17}{res}{space 2}-.0098087{col 29}{space 2} .0175048{col 40}{space 1}   -0.56{col 49}{space 3}0.575{col 57}{space 4}-.0441199{col 70}{space 3} .0245025
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2}-.0420366{col 29}{space 2} .0134886{col 40}{space 1}   -3.12{col 49}{space 3}0.002{col 57}{space 4}-.0684755{col 70}{space 3}-.0155976
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2}-.0496439{col 29}{space 2}  .011171{col 40}{space 1}   -4.44{col 49}{space 3}0.000{col 57}{space 4}-.0715402{col 70}{space 3}-.0277476
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2} .0012286{col 29}{space 2} .0120289{col 40}{space 1}    0.10{col 49}{space 3}0.919{col 57}{space 4}-.0223493{col 70}{space 3} .0248064
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.0288821{col 29}{space 2} .0124191{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4}-.0532249{col 70}{space 3}-.0045394
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0162897{col 29}{space 2} .0149122{col 40}{space 1}   -1.09{col 49}{space 3}0.275{col 57}{space 4}-.0455191{col 70}{space 3} .0129396
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.0038629{col 29}{space 2} .0126527{col 40}{space 1}   -0.31{col 49}{space 3}0.760{col 57}{space 4}-.0286633{col 70}{space 3} .0209376
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} .0075389{col 29}{space 2} .0131347{col 40}{space 1}    0.57{col 49}{space 3}0.566{col 57}{space 4}-.0182064{col 70}{space 3} .0332843
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .8192027{col 29}{space 2} .0178254{col 40}{space 1}   45.96{col 49}{space 3}0.000{col 57}{space 4} .7842631{col 70}{space 3} .8541423
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store model_3

. 
. 
. 
. reg covid_vac trust sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    35.34
{txt}       Model {c |} {res} 40.4733294        26  1.55666651   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 763.389089    17,330  .044050149   {txt}R-squared       ={res}    0.0503
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0489
{txt}       Total {c |} {res} 803.862419    17,356  .046316111   {txt}Root MSE        =   {res} .20988

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      covid_vac{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}trust {c |}{col 17}{res}{space 2} .0081627{col 29}{space 2} .0022014{col 40}{space 1}    3.71{col 49}{space 3}0.000{col 57}{space 4} .0038477{col 70}{space 3} .0124777
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0107187{col 29}{space 2} .0035277{col 40}{space 1}    3.04{col 49}{space 3}0.002{col 57}{space 4} .0038041{col 70}{space 3} .0176334
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0390427{col 29}{space 2} .0054035{col 40}{space 1}   -7.23{col 49}{space 3}0.000{col 57}{space 4}-.0496341{col 70}{space 3}-.0284514
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0187584{col 29}{space 2} .0017674{col 40}{space 1}   10.61{col 49}{space 3}0.000{col 57}{space 4} .0152941{col 70}{space 3} .0222227
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .0148704{col 29}{space 2} .0042329{col 40}{space 1}    3.51{col 49}{space 3}0.000{col 57}{space 4} .0065734{col 70}{space 3} .0231674
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0071711{col 29}{space 2} .0018202{col 40}{space 1}    3.94{col 49}{space 3}0.000{col 57}{space 4} .0036034{col 70}{space 3} .0107388
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.0135039{col 29}{space 2} .0135609{col 40}{space 1}   -1.00{col 49}{space 3}0.319{col 57}{space 4}-.0400847{col 70}{space 3} .0130769
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0079236{col 29}{space 2} .0010379{col 40}{space 1}    7.63{col 49}{space 3}0.000{col 57}{space 4} .0058891{col 70}{space 3} .0099581
{txt}{space 7}religion {c |}{col 17}{res}{space 2}-.0010072{col 29}{space 2} .0035649{col 40}{space 1}   -0.28{col 49}{space 3}0.778{col 57}{space 4}-.0079948{col 70}{space 3} .0059804
{txt}{space 7}ideology {c |}{col 17}{res}{space 2}-.0014814{col 29}{space 2} .0009054{col 40}{space 1}   -1.64{col 49}{space 3}0.102{col 57}{space 4}-.0032561{col 70}{space 3} .0002933
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.0300777{col 29}{space 2}  .009702{col 40}{space 1}   -3.10{col 49}{space 3}0.002{col 57}{space 4}-.0490946{col 70}{space 3}-.0110607
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0071091{col 29}{space 2} .0111457{col 40}{space 1}   -0.64{col 49}{space 3}0.524{col 57}{space 4}-.0289559{col 70}{space 3} .0147376
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}-.0235773{col 29}{space 2}  .011984{col 40}{space 1}   -1.97{col 49}{space 3}0.049{col 57}{space 4}-.0470671{col 70}{space 3}-.0000875
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .0025439{col 29}{space 2} .0127197{col 40}{space 1}    0.20{col 49}{space 3}0.841{col 57}{space 4} -.022388{col 70}{space 3} .0274757
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.0210284{col 29}{space 2} .0120918{col 40}{space 1}   -1.74{col 49}{space 3}0.082{col 57}{space 4}-.0447295{col 70}{space 3} .0026728
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .0077119{col 29}{space 2} .0130549{col 40}{space 1}    0.59{col 49}{space 3}0.555{col 57}{space 4} -.017877{col 70}{space 3} .0333008
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2}-.0194061{col 29}{space 2} .0111777{col 40}{space 1}   -1.74{col 49}{space 3}0.083{col 57}{space 4}-.0413155{col 70}{space 3} .0025034
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2} -.029093{col 29}{space 2} .0099342{col 40}{space 1}   -2.93{col 49}{space 3}0.003{col 57}{space 4} -.048565{col 70}{space 3}-.0096209
{txt}세종특별자치시  {c |}{col 17}{res}{space 2}-.0139771{col 29}{space 2} .0175395{col 40}{space 1}   -0.80{col 49}{space 3}0.426{col 57}{space 4}-.0483563{col 70}{space 3} .0204021
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2}-.0455665{col 29}{space 2} .0135077{col 40}{space 1}   -3.37{col 49}{space 3}0.001{col 57}{space 4} -.072043{col 70}{space 3}  -.01909
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2}-.0512435{col 29}{space 2} .0111804{col 40}{space 1}   -4.58{col 49}{space 3}0.000{col 57}{space 4}-.0731582{col 70}{space 3}-.0293287
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2}-.0004847{col 29}{space 2} .0120482{col 40}{space 1}   -0.04{col 49}{space 3}0.968{col 57}{space 4}-.0241003{col 70}{space 3}  .023131
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.0340012{col 29}{space 2} .0124205{col 40}{space 1}   -2.74{col 49}{space 3}0.006{col 57}{space 4}-.0583466{col 70}{space 3}-.0096558
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0194176{col 29}{space 2} .0149286{col 40}{space 1}   -1.30{col 49}{space 3}0.193{col 57}{space 4}-.0486792{col 70}{space 3}  .009844
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2} -.006742{col 29}{space 2} .0126786{col 40}{space 1}   -0.53{col 49}{space 3}0.595{col 57}{space 4}-.0315933{col 70}{space 3} .0181093
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} .0015995{col 29}{space 2} .0131455{col 40}{space 1}    0.12{col 49}{space 3}0.903{col 57}{space 4} -.024167{col 70}{space 3} .0273659
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .8300638{col 29}{space 2} .0169237{col 40}{space 1}   49.05{col 49}{space 3}0.000{col 57}{space 4} .7968917{col 70}{space 3} .8632359
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store model_4

. 
. 
. 
. coefplot (model_1), bylabel ((a) Vaccine Trust) || (model_2), bylabel ((b) Vaccine Trust) || (model_3), bylabel ((c) Vaccination) || (model_4), bylabel ((d) Vaccination) ||, omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2))  keep(science || trust)
{res}
{com}. 
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. reg covid_trust science sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    37.00
{txt}       Model {c |} {res} 849.838014        26  32.6860774   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 15308.6065    17,330  .883358715   {txt}R-squared       ={res}    0.0526
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0512
{txt}       Total {c |} {res} 16158.4445    17,356  .931000492   {txt}Root MSE        =   {res} .93987

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    covid_trust{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}science {c |}{col 17}{res}{space 2} .1557379{col 29}{space 2} .0099536{col 40}{space 1}   15.65{col 49}{space 3}0.000{col 57}{space 4} .1362278{col 70}{space 3} .1752479
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0166567{col 29}{space 2} .0157939{col 40}{space 1}    1.05{col 49}{space 3}0.292{col 57}{space 4}-.0143009{col 70}{space 3} .0476143
{txt}{space 7}marriage {c |}{col 17}{res}{space 2} .0006079{col 29}{space 2} .0241905{col 40}{space 1}    0.03{col 49}{space 3}0.980{col 57}{space 4} -.046808{col 70}{space 3} .0480237
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0026072{col 29}{space 2} .0079166{col 40}{space 1}    0.33{col 49}{space 3}0.742{col 57}{space 4}-.0129101{col 70}{space 3} .0181246
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2}-.0417389{col 29}{space 2} .0189027{col 40}{space 1}   -2.21{col 49}{space 3}0.027{col 57}{space 4}  -.07879{col 70}{space 3}-.0046877
{txt}{space 6}education {c |}{col 17}{res}{space 2}-.0048092{col 29}{space 2} .0081509{col 40}{space 1}   -0.59{col 49}{space 3}0.555{col 57}{space 4}-.0207857{col 70}{space 3} .0111673
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.1178474{col 29}{space 2} .0607213{col 40}{space 1}   -1.94{col 49}{space 3}0.052{col 57}{space 4}-.2368673{col 70}{space 3} .0011726
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} -.007015{col 29}{space 2} .0046453{col 40}{space 1}   -1.51{col 49}{space 3}0.131{col 57}{space 4}-.0161202{col 70}{space 3} .0020902
{txt}{space 7}religion {c |}{col 17}{res}{space 2} .0151956{col 29}{space 2} .0159581{col 40}{space 1}    0.95{col 49}{space 3}0.341{col 57}{space 4}-.0160839{col 70}{space 3} .0464752
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} .0136528{col 29}{space 2} .0040543{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4} .0057059{col 70}{space 3} .0215997
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.2046216{col 29}{space 2} .0433726{col 40}{space 1}   -4.72{col 49}{space 3}0.000{col 57}{space 4}-.2896363{col 70}{space 3}-.1196069
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0221252{col 29}{space 2} .0496791{col 40}{space 1}   -0.45{col 49}{space 3}0.656{col 57}{space 4}-.1195012{col 70}{space 3} .0752508
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2} .0792105{col 29}{space 2}  .053631{col 40}{space 1}    1.48{col 49}{space 3}0.140{col 57}{space 4}-.0259117{col 70}{space 3} .1843327
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .1041088{col 29}{space 2} .0569659{col 40}{space 1}    1.83{col 49}{space 3}0.068{col 57}{space 4}-.0075501{col 70}{space 3} .2157677
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2} .1826586{col 29}{space 2} .0541632{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4} .0764932{col 70}{space 3} .2888241
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .0951575{col 29}{space 2} .0584958{col 40}{space 1}    1.63{col 49}{space 3}0.104{col 57}{space 4}-.0195001{col 70}{space 3} .2098152
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2} .1724812{col 29}{space 2} .0498472{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4} .0747757{col 70}{space 3} .2701868
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}-.0630831{col 29}{space 2} .0444002{col 40}{space 1}   -1.42{col 49}{space 3}0.155{col 57}{space 4} -.150112{col 70}{space 3} .0239457
{txt}세종특별자치시  {c |}{col 17}{res}{space 2} .1554911{col 29}{space 2} .0783951{col 40}{space 1}    1.98{col 49}{space 3}0.047{col 57}{space 4} .0018288{col 70}{space 3} .3091533
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2} .0968095{col 29}{space 2} .0604083{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4} -.021597{col 70}{space 3}  .215216
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .0264227{col 29}{space 2} .0500293{col 40}{space 1}    0.53{col 49}{space 3}0.597{col 57}{space 4}-.0716397{col 70}{space 3} .1244851
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2} -.599764{col 29}{space 2} .0538713{col 40}{space 1}  -11.13{col 49}{space 3}0.000{col 57}{space 4}-.7053572{col 70}{space 3}-.4941709
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.3591405{col 29}{space 2} .0556189{col 40}{space 1}   -6.46{col 49}{space 3}0.000{col 57}{space 4}-.4681592{col 70}{space 3}-.2501219
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0748834{col 29}{space 2} .0667839{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4}-.2057867{col 70}{space 3} .0560198
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.1997005{col 29}{space 2} .0566647{col 40}{space 1}   -3.52{col 49}{space 3}0.000{col 57}{space 4}-.3107691{col 70}{space 3}-.0886319
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2}-.3049063{col 29}{space 2} .0588237{col 40}{space 1}   -5.18{col 49}{space 3}0.000{col 57}{space 4}-.4202066{col 70}{space 3} -.189606
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.802849{col 29}{space 2} .0798309{col 40}{space 1}   35.11{col 49}{space 3}0.000{col 57}{space 4} 2.646372{col 70}{space 3} 2.959325
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. margins, at(science =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    17,357
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.899953{col 26}{space 2} .0291674{col 37}{space 1}   99.42{col 46}{space 3}0.000{col 54}{space 4} 2.842782{col 67}{space 3} 2.957124
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  3.05569{col 26}{space 2} .0196673{col 37}{space 1}  155.37{col 46}{space 3}0.000{col 54}{space 4}  3.01714{col 67}{space 3}  3.09424
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.211428{col 26}{space 2}  .011001{col 37}{space 1}  291.92{col 46}{space 3}0.000{col 54}{space 4} 3.189865{col 67}{space 3} 3.232991
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 3.367166{col 26}{space 2} .0073067{col 37}{space 1}  460.83{col 46}{space 3}0.000{col 54}{space 4} 3.352844{col 67}{space 3} 3.381488
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 3.522904{col 26}{space 2}  .013561{col 37}{space 1}  259.78{col 46}{space 3}0.000{col 54}{space 4} 3.496323{col 67}{space 3} 3.549485
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, recastci(rarea)

{text}{p 2 6 2}Variables that uniquely identify margins: science{p_end}
{res}
{com}. 
. 
. 
. reg covid_trust trust sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    27.75
{txt}       Model {c |} {res} 645.784217        26  24.8378545   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 15512.6603    17,330  .895133314   {txt}R-squared       ={res}    0.0400
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0385
{txt}       Total {c |} {res} 16158.4445    17,356  .931000492   {txt}Root MSE        =   {res} .94611

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    covid_trust{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}trust {c |}{col 17}{res}{space 2} .0366375{col 29}{space 2} .0099237{col 40}{space 1}    3.69{col 49}{space 3}0.000{col 57}{space 4} .0171862{col 70}{space 3} .0560889
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0139365{col 29}{space 2} .0159023{col 40}{space 1}    0.88{col 49}{space 3}0.381{col 57}{space 4}-.0172337{col 70}{space 3} .0451066
{txt}{space 7}marriage {c |}{col 17}{res}{space 2} .0005623{col 29}{space 2} .0243582{col 40}{space 1}    0.02{col 49}{space 3}0.982{col 57}{space 4}-.0471822{col 70}{space 3} .0483067
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0003374{col 29}{space 2} .0079673{col 40}{space 1}   -0.04{col 49}{space 3}0.966{col 57}{space 4} -.015954{col 70}{space 3} .0152792
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2}-.0445814{col 29}{space 2} .0190815{col 40}{space 1}   -2.34{col 49}{space 3}0.019{col 57}{space 4} -.081983{col 70}{space 3}-.0071798
{txt}{space 6}education {c |}{col 17}{res}{space 2}-.0027771{col 29}{space 2}  .008205{col 40}{space 1}   -0.34{col 49}{space 3}0.735{col 57}{space 4}-.0188597{col 70}{space 3} .0133055
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.1315298{col 29}{space 2} .0611307{col 40}{space 1}   -2.15{col 49}{space 3}0.031{col 57}{space 4} -.251352{col 70}{space 3}-.0117075
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2}-.0069446{col 29}{space 2} .0046789{col 40}{space 1}   -1.48{col 49}{space 3}0.138{col 57}{space 4}-.0161157{col 70}{space 3} .0022266
{txt}{space 7}religion {c |}{col 17}{res}{space 2} .0124731{col 29}{space 2} .0160701{col 40}{space 1}    0.78{col 49}{space 3}0.438{col 57}{space 4}-.0190259{col 70}{space 3} .0439722
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} .0129402{col 29}{space 2} .0040814{col 40}{space 1}    3.17{col 49}{space 3}0.002{col 57}{space 4} .0049402{col 70}{space 3} .0209401
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.2270845{col 29}{space 2} .0437353{col 40}{space 1}   -5.19{col 49}{space 3}0.000{col 57}{space 4}-.3128101{col 70}{space 3} -.141359
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0311544{col 29}{space 2} .0502434{col 40}{space 1}   -0.62{col 49}{space 3}0.535{col 57}{space 4}-.1296365{col 70}{space 3} .0673277
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2} .0535531{col 29}{space 2}  .054022{col 40}{space 1}    0.99{col 49}{space 3}0.322{col 57}{space 4}-.0523355{col 70}{space 3} .1594418
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2}  .118158{col 29}{space 2} .0573384{col 40}{space 1}    2.06{col 49}{space 3}0.039{col 57}{space 4} .0057689{col 70}{space 3} .2305471
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2} .1511622{col 29}{space 2} .0545082{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4} .0443207{col 70}{space 3} .2580038
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2}  .054902{col 29}{space 2} .0588496{col 40}{space 1}    0.93{col 49}{space 3}0.351{col 57}{space 4}-.0604493{col 70}{space 3} .1702532
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2}  .171369{col 29}{space 2} .0503876{col 40}{space 1}    3.40{col 49}{space 3}0.001{col 57}{space 4} .0726042{col 70}{space 3} .2701337
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}-.0589589{col 29}{space 2}  .044782{col 40}{space 1}   -1.32{col 49}{space 3}0.188{col 57}{space 4}-.1467361{col 70}{space 3} .0288182
{txt}세종특별자치시  {c |}{col 17}{res}{space 2} .1347006{col 29}{space 2} .0790656{col 40}{space 1}    1.70{col 49}{space 3}0.088{col 57}{space 4} -.020276{col 70}{space 3} .2896772
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2} .0703751{col 29}{space 2} .0608908{col 40}{space 1}    1.16{col 49}{space 3}0.248{col 57}{space 4} -.048977{col 70}{space 3} .1897272
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .0194138{col 29}{space 2} .0503997{col 40}{space 1}    0.39{col 49}{space 3}0.700{col 57}{space 4}-.0793748{col 70}{space 3} .1182024
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2}-.5964309{col 29}{space 2} .0543115{col 40}{space 1}  -10.98{col 49}{space 3}0.000{col 57}{space 4}-.7028869{col 70}{space 3} -.489975
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.4159738{col 29}{space 2} .0559898{col 40}{space 1}   -7.43{col 49}{space 3}0.000{col 57}{space 4}-.5257194{col 70}{space 3}-.3062281
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0962256{col 29}{space 2} .0672961{col 40}{space 1}   -1.43{col 49}{space 3}0.153{col 57}{space 4}-.2281328{col 70}{space 3} .0356815
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.2118065{col 29}{space 2} .0571532{col 40}{space 1}   -3.71{col 49}{space 3}0.000{col 57}{space 4}-.3238327{col 70}{space 3}-.0997804
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2}-.3669513{col 29}{space 2} .0592578{col 40}{space 1}   -6.19{col 49}{space 3}0.000{col 57}{space 4}-.4831027{col 70}{space 3}   -.2508
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.299678{col 29}{space 2} .0762896{col 40}{space 1}   43.25{col 49}{space 3}0.000{col 57}{space 4} 3.150143{col 70}{space 3} 3.449213
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. margins, at(trust =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    17,357
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 3.251346{col 26}{space 2} .0257016{col 37}{space 1}  126.50{col 46}{space 3}0.000{col 54}{space 4} 3.200968{col 67}{space 3} 3.301724
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.287984{col 26}{space 2} .0164092{col 37}{space 1}  200.37{col 46}{space 3}0.000{col 54}{space 4}  3.25582{col 67}{space 3} 3.320147
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.324621{col 26}{space 2} .0086549{col 37}{space 1}  384.13{col 46}{space 3}0.000{col 54}{space 4} 3.307657{col 67}{space 3} 3.341586
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 3.361259{col 26}{space 2}  .008804{col 37}{space 1}  381.79{col 46}{space 3}0.000{col 54}{space 4} 3.344002{col 67}{space 3} 3.378515
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 3.397896{col 26}{space 2} .0166455{col 37}{space 1}  204.13{col 46}{space 3}0.000{col 54}{space 4} 3.365269{col 67}{space 3} 3.430523
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, recastci(rarea)

{text}{p 2 6 2}Variables that uniquely identify margins: trust{p_end}
{res}
{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. reg covid_vac science sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    35.46
{txt}       Model {c |} {res} 40.6015307        26  1.56159733   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 763.260888    17,330  .044042752   {txt}R-squared       ={res}    0.0505
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0491
{txt}       Total {c |} {res} 803.862419    17,356  .046316111   {txt}Root MSE        =   {res} .20986

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      covid_vac{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}science {c |}{col 17}{res}{space 2} .0090721{col 29}{space 2} .0022225{col 40}{space 1}    4.08{col 49}{space 3}0.000{col 57}{space 4} .0047157{col 70}{space 3} .0134285
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0110886{col 29}{space 2} .0035266{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4}  .004176{col 70}{space 3} .0180011
{txt}{space 7}marriage {c |}{col 17}{res}{space 2} -.039405{col 29}{space 2} .0054015{col 40}{space 1}   -7.30{col 49}{space 3}0.000{col 57}{space 4}-.0499924{col 70}{space 3}-.0288175
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0189549{col 29}{space 2} .0017677{col 40}{space 1}   10.72{col 49}{space 3}0.000{col 57}{space 4}   .01549{col 70}{space 3} .0224198
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .0159064{col 29}{space 2} .0042208{col 40}{space 1}    3.77{col 49}{space 3}0.000{col 57}{space 4} .0076333{col 70}{space 3} .0241796
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0071556{col 29}{space 2}   .00182{col 40}{space 1}    3.93{col 49}{space 3}0.000{col 57}{space 4} .0035882{col 70}{space 3}  .010723
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.0136206{col 29}{space 2} .0135584{col 40}{space 1}   -1.00{col 49}{space 3}0.315{col 57}{space 4}-.0401965{col 70}{space 3} .0129553
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0080211{col 29}{space 2} .0010372{col 40}{space 1}    7.73{col 49}{space 3}0.000{col 57}{space 4}  .005988{col 70}{space 3} .0100542
{txt}{space 7}religion {c |}{col 17}{res}{space 2}-.0005788{col 29}{space 2} .0035633{col 40}{space 1}   -0.16{col 49}{space 3}0.871{col 57}{space 4}-.0075632{col 70}{space 3} .0064057
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} -.001483{col 29}{space 2} .0009053{col 40}{space 1}   -1.64{col 49}{space 3}0.101{col 57}{space 4}-.0032575{col 70}{space 3} .0002915
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.0271426{col 29}{space 2} .0096847{col 40}{space 1}   -2.80{col 49}{space 3}0.005{col 57}{space 4}-.0461255{col 70}{space 3}-.0081597
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0036181{col 29}{space 2} .0110928{col 40}{space 1}   -0.33{col 49}{space 3}0.744{col 57}{space 4}-.0253612{col 70}{space 3}  .018125
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}-.0207231{col 29}{space 2} .0119753{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4}-.0441958{col 70}{space 3} .0027496
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .0015904{col 29}{space 2} .0127199{col 40}{space 1}    0.13{col 49}{space 3}0.900{col 57}{space 4}-.0233419{col 70}{space 3} .0265227
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.0205373{col 29}{space 2} .0120941{col 40}{space 1}   -1.70{col 49}{space 3}0.090{col 57}{space 4} -.044243{col 70}{space 3} .0031683
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2}  .010748{col 29}{space 2} .0130615{col 40}{space 1}    0.82{col 49}{space 3}0.411{col 57}{space 4}-.0148538{col 70}{space 3} .0363499
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2}-.0164829{col 29}{space 2} .0111304{col 40}{space 1}   -1.48{col 49}{space 3}0.139{col 57}{space 4}-.0382996{col 70}{space 3} .0053337
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}-.0275411{col 29}{space 2} .0099141{col 40}{space 1}   -2.78{col 49}{space 3}0.005{col 57}{space 4}-.0469738{col 70}{space 3}-.0081085
{txt}세종특별자치시  {c |}{col 17}{res}{space 2}-.0098087{col 29}{space 2} .0175048{col 40}{space 1}   -0.56{col 49}{space 3}0.575{col 57}{space 4}-.0441199{col 70}{space 3} .0245025
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2}-.0420366{col 29}{space 2} .0134886{col 40}{space 1}   -3.12{col 49}{space 3}0.002{col 57}{space 4}-.0684755{col 70}{space 3}-.0155976
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2}-.0496439{col 29}{space 2}  .011171{col 40}{space 1}   -4.44{col 49}{space 3}0.000{col 57}{space 4}-.0715402{col 70}{space 3}-.0277476
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2} .0012286{col 29}{space 2} .0120289{col 40}{space 1}    0.10{col 49}{space 3}0.919{col 57}{space 4}-.0223493{col 70}{space 3} .0248064
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.0288821{col 29}{space 2} .0124191{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4}-.0532249{col 70}{space 3}-.0045394
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0162897{col 29}{space 2} .0149122{col 40}{space 1}   -1.09{col 49}{space 3}0.275{col 57}{space 4}-.0455191{col 70}{space 3} .0129396
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.0038629{col 29}{space 2} .0126527{col 40}{space 1}   -0.31{col 49}{space 3}0.760{col 57}{space 4}-.0286633{col 70}{space 3} .0209376
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} .0075389{col 29}{space 2} .0131347{col 40}{space 1}    0.57{col 49}{space 3}0.566{col 57}{space 4}-.0182064{col 70}{space 3} .0332843
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .8192027{col 29}{space 2} .0178254{col 40}{space 1}   45.96{col 49}{space 3}0.000{col 57}{space 4} .7842631{col 70}{space 3} .8541423
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. margins, at(science =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    17,357
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9255395{col 26}{space 2} .0065128{col 37}{space 1}  142.11{col 46}{space 3}0.000{col 54}{space 4} .9127739{col 67}{space 3} .9383052
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .9346117{col 26}{space 2} .0043915{col 37}{space 1}  212.82{col 46}{space 3}0.000{col 54}{space 4} .9260039{col 67}{space 3} .9432195
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .9436838{col 26}{space 2} .0024564{col 37}{space 1}  384.17{col 46}{space 3}0.000{col 54}{space 4}  .938869{col 67}{space 3} .9484986
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .9527559{col 26}{space 2} .0016315{col 37}{space 1}  583.97{col 46}{space 3}0.000{col 54}{space 4}  .949558{col 67}{space 3} .9559538
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .9618281{col 26}{space 2}  .003028{col 37}{space 1}  317.64{col 46}{space 3}0.000{col 54}{space 4} .9558928{col 67}{space 3} .9677633
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, recastci(rarea)

{text}{p 2 6 2}Variables that uniquely identify margins: science{p_end}
{res}
{com}. 
. 
. 
. 
. 
. reg covid_vac trust sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    35.34
{txt}       Model {c |} {res} 40.4733294        26  1.55666651   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 763.389089    17,330  .044050149   {txt}R-squared       ={res}    0.0503
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0489
{txt}       Total {c |} {res} 803.862419    17,356  .046316111   {txt}Root MSE        =   {res} .20988

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      covid_vac{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}trust {c |}{col 17}{res}{space 2} .0081627{col 29}{space 2} .0022014{col 40}{space 1}    3.71{col 49}{space 3}0.000{col 57}{space 4} .0038477{col 70}{space 3} .0124777
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0107187{col 29}{space 2} .0035277{col 40}{space 1}    3.04{col 49}{space 3}0.002{col 57}{space 4} .0038041{col 70}{space 3} .0176334
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0390427{col 29}{space 2} .0054035{col 40}{space 1}   -7.23{col 49}{space 3}0.000{col 57}{space 4}-.0496341{col 70}{space 3}-.0284514
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0187584{col 29}{space 2} .0017674{col 40}{space 1}   10.61{col 49}{space 3}0.000{col 57}{space 4} .0152941{col 70}{space 3} .0222227
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .0148704{col 29}{space 2} .0042329{col 40}{space 1}    3.51{col 49}{space 3}0.000{col 57}{space 4} .0065734{col 70}{space 3} .0231674
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0071711{col 29}{space 2} .0018202{col 40}{space 1}    3.94{col 49}{space 3}0.000{col 57}{space 4} .0036034{col 70}{space 3} .0107388
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.0135039{col 29}{space 2} .0135609{col 40}{space 1}   -1.00{col 49}{space 3}0.319{col 57}{space 4}-.0400847{col 70}{space 3} .0130769
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0079236{col 29}{space 2} .0010379{col 40}{space 1}    7.63{col 49}{space 3}0.000{col 57}{space 4} .0058891{col 70}{space 3} .0099581
{txt}{space 7}religion {c |}{col 17}{res}{space 2}-.0010072{col 29}{space 2} .0035649{col 40}{space 1}   -0.28{col 49}{space 3}0.778{col 57}{space 4}-.0079948{col 70}{space 3} .0059804
{txt}{space 7}ideology {c |}{col 17}{res}{space 2}-.0014814{col 29}{space 2} .0009054{col 40}{space 1}   -1.64{col 49}{space 3}0.102{col 57}{space 4}-.0032561{col 70}{space 3} .0002933
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.0300777{col 29}{space 2}  .009702{col 40}{space 1}   -3.10{col 49}{space 3}0.002{col 57}{space 4}-.0490946{col 70}{space 3}-.0110607
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0071091{col 29}{space 2} .0111457{col 40}{space 1}   -0.64{col 49}{space 3}0.524{col 57}{space 4}-.0289559{col 70}{space 3} .0147376
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}-.0235773{col 29}{space 2}  .011984{col 40}{space 1}   -1.97{col 49}{space 3}0.049{col 57}{space 4}-.0470671{col 70}{space 3}-.0000875
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .0025439{col 29}{space 2} .0127197{col 40}{space 1}    0.20{col 49}{space 3}0.841{col 57}{space 4} -.022388{col 70}{space 3} .0274757
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.0210284{col 29}{space 2} .0120918{col 40}{space 1}   -1.74{col 49}{space 3}0.082{col 57}{space 4}-.0447295{col 70}{space 3} .0026728
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .0077119{col 29}{space 2} .0130549{col 40}{space 1}    0.59{col 49}{space 3}0.555{col 57}{space 4} -.017877{col 70}{space 3} .0333008
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2}-.0194061{col 29}{space 2} .0111777{col 40}{space 1}   -1.74{col 49}{space 3}0.083{col 57}{space 4}-.0413155{col 70}{space 3} .0025034
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2} -.029093{col 29}{space 2} .0099342{col 40}{space 1}   -2.93{col 49}{space 3}0.003{col 57}{space 4} -.048565{col 70}{space 3}-.0096209
{txt}세종특별자치시  {c |}{col 17}{res}{space 2}-.0139771{col 29}{space 2} .0175395{col 40}{space 1}   -0.80{col 49}{space 3}0.426{col 57}{space 4}-.0483563{col 70}{space 3} .0204021
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2}-.0455665{col 29}{space 2} .0135077{col 40}{space 1}   -3.37{col 49}{space 3}0.001{col 57}{space 4} -.072043{col 70}{space 3}  -.01909
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2}-.0512435{col 29}{space 2} .0111804{col 40}{space 1}   -4.58{col 49}{space 3}0.000{col 57}{space 4}-.0731582{col 70}{space 3}-.0293287
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2}-.0004847{col 29}{space 2} .0120482{col 40}{space 1}   -0.04{col 49}{space 3}0.968{col 57}{space 4}-.0241003{col 70}{space 3}  .023131
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.0340012{col 29}{space 2} .0124205{col 40}{space 1}   -2.74{col 49}{space 3}0.006{col 57}{space 4}-.0583466{col 70}{space 3}-.0096558
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0194176{col 29}{space 2} .0149286{col 40}{space 1}   -1.30{col 49}{space 3}0.193{col 57}{space 4}-.0486792{col 70}{space 3}  .009844
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2} -.006742{col 29}{space 2} .0126786{col 40}{space 1}   -0.53{col 49}{space 3}0.595{col 57}{space 4}-.0315933{col 70}{space 3} .0181093
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} .0015995{col 29}{space 2} .0131455{col 40}{space 1}    0.12{col 49}{space 3}0.903{col 57}{space 4} -.024167{col 70}{space 3} .0273659
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .8300638{col 29}{space 2} .0169237{col 40}{space 1}   49.05{col 49}{space 3}0.000{col 57}{space 4} .7968917{col 70}{space 3} .8632359
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. margins, at(trust =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    17,357
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9310178{col 26}{space 2} .0057015{col 37}{space 1}  163.29{col 46}{space 3}0.000{col 54}{space 4} .9198422{col 67}{space 3} .9421933
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .9391804{col 26}{space 2} .0036401{col 37}{space 1}  258.01{col 46}{space 3}0.000{col 54}{space 4} .9320454{col 67}{space 3} .9463154
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .9473431{col 26}{space 2}   .00192{col 37}{space 1}  493.42{col 46}{space 3}0.000{col 54}{space 4} .9435798{col 67}{space 3} .9511064
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .9555057{col 26}{space 2}  .001953{col 37}{space 1}  489.24{col 46}{space 3}0.000{col 54}{space 4} .9516776{col 67}{space 3} .9593339
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .9636684{col 26}{space 2} .0036926{col 37}{space 1}  260.98{col 46}{space 3}0.000{col 54}{space 4} .9564306{col 67}{space 3} .9709062
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, recastci(rarea)

{text}{p 2 6 2}Variables that uniquely identify margins: trust{p_end}
{res}
{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
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. 
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. 
. 
. 
. 
. 
. 
. reg covid_trust inequality sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    28.10
{txt}       Model {c |} {res} 653.749905        26  25.1442271   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 15504.6946    17,330  .894673667   {txt}R-squared       ={res}    0.0405
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0390
{txt}       Total {c |} {res} 16158.4445    17,356  .931000492   {txt}Root MSE        =   {res} .94587

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    covid_trust{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}inequality {c |}{col 17}{res}{space 2} -.036993{col 29}{space 2} .0077917{col 40}{space 1}   -4.75{col 49}{space 3}0.000{col 57}{space 4}-.0522656{col 70}{space 3}-.0217204
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0147716{col 29}{space 2} .0158947{col 40}{space 1}    0.93{col 49}{space 3}0.353{col 57}{space 4}-.0163837{col 70}{space 3} .0459269
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0011287{col 29}{space 2} .0243447{col 40}{space 1}   -0.05{col 49}{space 3}0.963{col 57}{space 4}-.0488469{col 70}{space 3} .0465895
{txt}{space 12}age {c |}{col 17}{res}{space 2}  .000437{col 29}{space 2} .0079662{col 40}{space 1}    0.05{col 49}{space 3}0.956{col 57}{space 4}-.0151775{col 70}{space 3} .0160515
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2}-.0428451{col 29}{space 2} .0190374{col 40}{space 1}   -2.25{col 49}{space 3}0.024{col 57}{space 4}-.0801604{col 70}{space 3}-.0055298
{txt}{space 6}education {c |}{col 17}{res}{space 2} -.002636{col 29}{space 2} .0082018{col 40}{space 1}   -0.32{col 49}{space 3}0.748{col 57}{space 4}-.0187123{col 70}{space 3} .0134403
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.1425136{col 29}{space 2} .0611072{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4}-.2622898{col 70}{space 3}-.0227374
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2}-.0066807{col 29}{space 2} .0046753{col 40}{space 1}   -1.43{col 49}{space 3}0.153{col 57}{space 4}-.0158449{col 70}{space 3} .0024834
{txt}{space 7}religion {c |}{col 17}{res}{space 2} .0124251{col 29}{space 2} .0160638{col 40}{space 1}    0.77{col 49}{space 3}0.439{col 57}{space 4}-.0190616{col 70}{space 3} .0439118
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} .0118304{col 29}{space 2} .0040836{col 40}{space 1}    2.90{col 49}{space 3}0.004{col 57}{space 4} .0038261{col 70}{space 3} .0198348
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2} -.211174{col 29}{space 2} .0436605{col 40}{space 1}   -4.84{col 49}{space 3}0.000{col 57}{space 4}-.2967529{col 70}{space 3}-.1255951
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0138105{col 29}{space 2} .0499931{col 40}{space 1}   -0.28{col 49}{space 3}0.782{col 57}{space 4}-.1118021{col 70}{space 3}  .084181
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}  .074224{col 29}{space 2} .0540251{col 40}{space 1}    1.37{col 49}{space 3}0.169{col 57}{space 4}-.0316706{col 70}{space 3} .1801186
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .1148521{col 29}{space 2} .0573257{col 40}{space 1}    2.00{col 49}{space 3}0.045{col 57}{space 4}  .002488{col 70}{space 3} .2272161
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2} .1557441{col 29}{space 2} .0545155{col 40}{space 1}    2.86{col 49}{space 3}0.004{col 57}{space 4} .0488883{col 70}{space 3} .2625999
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .0731084{col 29}{space 2} .0588975{col 40}{space 1}    1.24{col 49}{space 3}0.215{col 57}{space 4}-.0423365{col 70}{space 3} .1885534
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2} .1896468{col 29}{space 2} .0501549{col 40}{space 1}    3.78{col 49}{space 3}0.000{col 57}{space 4} .0913382{col 70}{space 3} .2879555
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2} -.041991{col 29}{space 2} .0446915{col 40}{space 1}   -0.94{col 49}{space 3}0.347{col 57}{space 4}-.1295909{col 70}{space 3} .0456089
{txt}세종특별자치시  {c |}{col 17}{res}{space 2} .1425951{col 29}{space 2} .0789239{col 40}{space 1}    1.81{col 49}{space 3}0.071{col 57}{space 4}-.0121037{col 70}{space 3} .2972938
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2} .0812147{col 29}{space 2} .0607876{col 40}{space 1}    1.34{col 49}{space 3}0.182{col 57}{space 4}-.0379351{col 70}{space 3} .2003645
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .0300303{col 29}{space 2} .0503537{col 40}{space 1}    0.60{col 49}{space 3}0.551{col 57}{space 4} -.068668{col 70}{space 3} .1287286
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2}-.5832123{col 29}{space 2} .0542078{col 40}{space 1}  -10.76{col 49}{space 3}0.000{col 57}{space 4}-.6894651{col 70}{space 3}-.4769596
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.3968696{col 29}{space 2} .0559224{col 40}{space 1}   -7.10{col 49}{space 3}0.000{col 57}{space 4}-.5064831{col 70}{space 3}-.2872561
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0834251{col 29}{space 2} .0672079{col 40}{space 1}   -1.24{col 49}{space 3}0.215{col 57}{space 4}-.2151593{col 70}{space 3} .0483091
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.1842776{col 29}{space 2} .0571061{col 40}{space 1}   -3.23{col 49}{space 3}0.001{col 57}{space 4}-.2962114{col 70}{space 3}-.0723438
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2}-.3437933{col 29}{space 2} .0591495{col 40}{space 1}   -5.81{col 49}{space 3}0.000{col 57}{space 4}-.4597323{col 70}{space 3}-.2278544
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.540767{col 29}{space 2} .0754682{col 40}{space 1}   46.92{col 49}{space 3}0.000{col 57}{space 4} 3.392842{col 70}{space 3} 3.688693
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store model_1

. 
. 
. 
. reg covid_vac inequality sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    34.96
{txt}       Model {c |} {res} 40.0652854        26  1.54097252   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 763.797133    17,330  .044073695   {txt}R-squared       ={res}    0.0498
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0484
{txt}       Total {c |} {res} 803.862419    17,356  .046316111   {txt}Root MSE        =   {res} .20994

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      covid_vac{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}inequality {c |}{col 17}{res}{space 2}-.0036617{col 29}{space 2} .0017294{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.0070514{col 70}{space 3}-.0002719
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0109604{col 29}{space 2} .0035279{col 40}{space 1}    3.11{col 49}{space 3}0.002{col 57}{space 4} .0040455{col 70}{space 3} .0178754
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0394847{col 29}{space 2} .0054033{col 40}{space 1}   -7.31{col 49}{space 3}0.000{col 57}{space 4}-.0500758{col 70}{space 3}-.0288936
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0188538{col 29}{space 2} .0017681{col 40}{space 1}   10.66{col 49}{space 3}0.000{col 57}{space 4} .0153882{col 70}{space 3} .0223195
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .0156972{col 29}{space 2} .0042254{col 40}{space 1}    3.71{col 49}{space 3}0.000{col 57}{space 4} .0074151{col 70}{space 3} .0239794
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0072625{col 29}{space 2} .0018204{col 40}{space 1}    3.99{col 49}{space 3}0.000{col 57}{space 4} .0036943{col 70}{space 3} .0108306
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.0152786{col 29}{space 2} .0135628{col 40}{space 1}   -1.13{col 49}{space 3}0.260{col 57}{space 4}-.0418631{col 70}{space 3} .0113058
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0080262{col 29}{space 2} .0010377{col 40}{space 1}    7.73{col 49}{space 3}0.000{col 57}{space 4} .0059922{col 70}{space 3} .0100602
{txt}{space 7}religion {c |}{col 17}{res}{space 2}-.0008089{col 29}{space 2} .0035654{col 40}{space 1}   -0.23{col 49}{space 3}0.821{col 57}{space 4}-.0077974{col 70}{space 3} .0061796
{txt}{space 7}ideology {c |}{col 17}{res}{space 2}-.0016237{col 29}{space 2} .0009064{col 40}{space 1}   -1.79{col 49}{space 3}0.073{col 57}{space 4}-.0034003{col 70}{space 3} .0001529
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.0272789{col 29}{space 2} .0096905{col 40}{space 1}   -2.82{col 49}{space 3}0.005{col 57}{space 4}-.0462732{col 70}{space 3}-.0082846
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0031613{col 29}{space 2}  .011096{col 40}{space 1}   -0.28{col 49}{space 3}0.776{col 57}{space 4}-.0249106{col 70}{space 3}  .018588
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}-.0205082{col 29}{space 2} .0119909{col 40}{space 1}   -1.71{col 49}{space 3}0.087{col 57}{space 4}-.0440116{col 70}{space 3} .0029952
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2}  .002115{col 29}{space 2} .0127235{col 40}{space 1}    0.17{col 49}{space 3}0.868{col 57}{space 4}-.0228243{col 70}{space 3} .0270544
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.0215859{col 29}{space 2} .0120998{col 40}{space 1}   -1.78{col 49}{space 3}0.074{col 57}{space 4}-.0453027{col 70}{space 3} .0021308
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .0100341{col 29}{space 2} .0130724{col 40}{space 1}    0.77{col 49}{space 3}0.443{col 57}{space 4}-.0155891{col 70}{space 3} .0356572
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2}-.0154461{col 29}{space 2} .0111319{col 40}{space 1}   -1.39{col 49}{space 3}0.165{col 57}{space 4}-.0372658{col 70}{space 3} .0063736
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}-.0260649{col 29}{space 2} .0099193{col 40}{space 1}   -2.63{col 49}{space 3}0.009{col 57}{space 4}-.0455079{col 70}{space 3} -.006622
{txt}세종특별자치시  {c |}{col 17}{res}{space 2}-.0109704{col 29}{space 2} .0175172{col 40}{space 1}   -0.63{col 49}{space 3}0.531{col 57}{space 4} -.045306{col 70}{space 3} .0233652
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2}-.0429961{col 29}{space 2} .0134919{col 40}{space 1}   -3.19{col 49}{space 3}0.001{col 57}{space 4}-.0694416{col 70}{space 3}-.0165507
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2}-.0492962{col 29}{space 2} .0111761{col 40}{space 1}   -4.41{col 49}{space 3}0.000{col 57}{space 4}-.0712024{col 70}{space 3}  -.02739
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2}  .002259{col 29}{space 2} .0120315{col 40}{space 1}    0.19{col 49}{space 3}0.851{col 57}{space 4}-.0213239{col 70}{space 3} .0258419
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.0307495{col 29}{space 2}  .012412{col 40}{space 1}   -2.48{col 49}{space 3}0.013{col 57}{space 4}-.0550783{col 70}{space 3}-.0064206
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0167325{col 29}{space 2} .0149169{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4} -.045971{col 70}{space 3} .0125061
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.0023813{col 29}{space 2} .0126748{col 40}{space 1}   -0.19{col 49}{space 3}0.851{col 57}{space 4}-.0272251{col 70}{space 3} .0224625
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} .0056413{col 29}{space 2} .0131283{col 40}{space 1}    0.43{col 49}{space 3}0.667{col 57}{space 4}-.0200915{col 70}{space 3} .0313741
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .8675324{col 29}{space 2} .0167503{col 40}{space 1}   51.79{col 49}{space 3}0.000{col 57}{space 4} .8347003{col 70}{space 3} .9003646
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. estimates store model_2

. 
. 
. 
. coefplot (model_1), bylabel ((a) Vaccine Trust) || (model_2), bylabel ((b) Vaccination) ||, omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2))  keep(inequality)
{res}
{com}. 
. 
. 
. 
. 
. 
. 
. reg covid_trust inequality sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    28.10
{txt}       Model {c |} {res} 653.749905        26  25.1442271   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 15504.6946    17,330  .894673667   {txt}R-squared       ={res}    0.0405
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0390
{txt}       Total {c |} {res} 16158.4445    17,356  .931000492   {txt}Root MSE        =   {res} .94587

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    covid_trust{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}inequality {c |}{col 17}{res}{space 2} -.036993{col 29}{space 2} .0077917{col 40}{space 1}   -4.75{col 49}{space 3}0.000{col 57}{space 4}-.0522656{col 70}{space 3}-.0217204
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0147716{col 29}{space 2} .0158947{col 40}{space 1}    0.93{col 49}{space 3}0.353{col 57}{space 4}-.0163837{col 70}{space 3} .0459269
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0011287{col 29}{space 2} .0243447{col 40}{space 1}   -0.05{col 49}{space 3}0.963{col 57}{space 4}-.0488469{col 70}{space 3} .0465895
{txt}{space 12}age {c |}{col 17}{res}{space 2}  .000437{col 29}{space 2} .0079662{col 40}{space 1}    0.05{col 49}{space 3}0.956{col 57}{space 4}-.0151775{col 70}{space 3} .0160515
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2}-.0428451{col 29}{space 2} .0190374{col 40}{space 1}   -2.25{col 49}{space 3}0.024{col 57}{space 4}-.0801604{col 70}{space 3}-.0055298
{txt}{space 6}education {c |}{col 17}{res}{space 2} -.002636{col 29}{space 2} .0082018{col 40}{space 1}   -0.32{col 49}{space 3}0.748{col 57}{space 4}-.0187123{col 70}{space 3} .0134403
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.1425136{col 29}{space 2} .0611072{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4}-.2622898{col 70}{space 3}-.0227374
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2}-.0066807{col 29}{space 2} .0046753{col 40}{space 1}   -1.43{col 49}{space 3}0.153{col 57}{space 4}-.0158449{col 70}{space 3} .0024834
{txt}{space 7}religion {c |}{col 17}{res}{space 2} .0124251{col 29}{space 2} .0160638{col 40}{space 1}    0.77{col 49}{space 3}0.439{col 57}{space 4}-.0190616{col 70}{space 3} .0439118
{txt}{space 7}ideology {c |}{col 17}{res}{space 2} .0118304{col 29}{space 2} .0040836{col 40}{space 1}    2.90{col 49}{space 3}0.004{col 57}{space 4} .0038261{col 70}{space 3} .0198348
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2} -.211174{col 29}{space 2} .0436605{col 40}{space 1}   -4.84{col 49}{space 3}0.000{col 57}{space 4}-.2967529{col 70}{space 3}-.1255951
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0138105{col 29}{space 2} .0499931{col 40}{space 1}   -0.28{col 49}{space 3}0.782{col 57}{space 4}-.1118021{col 70}{space 3}  .084181
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}  .074224{col 29}{space 2} .0540251{col 40}{space 1}    1.37{col 49}{space 3}0.169{col 57}{space 4}-.0316706{col 70}{space 3} .1801186
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2} .1148521{col 29}{space 2} .0573257{col 40}{space 1}    2.00{col 49}{space 3}0.045{col 57}{space 4}  .002488{col 70}{space 3} .2272161
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2} .1557441{col 29}{space 2} .0545155{col 40}{space 1}    2.86{col 49}{space 3}0.004{col 57}{space 4} .0488883{col 70}{space 3} .2625999
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .0731084{col 29}{space 2} .0588975{col 40}{space 1}    1.24{col 49}{space 3}0.215{col 57}{space 4}-.0423365{col 70}{space 3} .1885534
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2} .1896468{col 29}{space 2} .0501549{col 40}{space 1}    3.78{col 49}{space 3}0.000{col 57}{space 4} .0913382{col 70}{space 3} .2879555
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2} -.041991{col 29}{space 2} .0446915{col 40}{space 1}   -0.94{col 49}{space 3}0.347{col 57}{space 4}-.1295909{col 70}{space 3} .0456089
{txt}세종특별자치시  {c |}{col 17}{res}{space 2} .1425951{col 29}{space 2} .0789239{col 40}{space 1}    1.81{col 49}{space 3}0.071{col 57}{space 4}-.0121037{col 70}{space 3} .2972938
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2} .0812147{col 29}{space 2} .0607876{col 40}{space 1}    1.34{col 49}{space 3}0.182{col 57}{space 4}-.0379351{col 70}{space 3} .2003645
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2} .0300303{col 29}{space 2} .0503537{col 40}{space 1}    0.60{col 49}{space 3}0.551{col 57}{space 4} -.068668{col 70}{space 3} .1287286
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2}-.5832123{col 29}{space 2} .0542078{col 40}{space 1}  -10.76{col 49}{space 3}0.000{col 57}{space 4}-.6894651{col 70}{space 3}-.4769596
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.3968696{col 29}{space 2} .0559224{col 40}{space 1}   -7.10{col 49}{space 3}0.000{col 57}{space 4}-.5064831{col 70}{space 3}-.2872561
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0834251{col 29}{space 2} .0672079{col 40}{space 1}   -1.24{col 49}{space 3}0.215{col 57}{space 4}-.2151593{col 70}{space 3} .0483091
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.1842776{col 29}{space 2} .0571061{col 40}{space 1}   -3.23{col 49}{space 3}0.001{col 57}{space 4}-.2962114{col 70}{space 3}-.0723438
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2}-.3437933{col 29}{space 2} .0591495{col 40}{space 1}   -5.81{col 49}{space 3}0.000{col 57}{space 4}-.4597323{col 70}{space 3}-.2278544
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.540767{col 29}{space 2} .0754682{col 40}{space 1}   46.92{col 49}{space 3}0.000{col 57}{space 4} 3.392842{col 70}{space 3} 3.688693
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. margins, at(inequality =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    17,357
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 3.432593{col 26}{space 2} .0202975{col 37}{space 1}  169.11{col 46}{space 3}0.000{col 54}{space 4} 3.392807{col 67}{space 3} 3.472378
{txt}{space 10}2  {c |}{col 14}{res}{space 2}   3.3956{col 26}{space 2} .0132982{col 37}{space 1}  255.34{col 46}{space 3}0.000{col 54}{space 4} 3.369534{col 67}{space 3} 3.421665
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 3.358607{col 26}{space 2} .0079447{col 37}{space 1}  422.75{col 46}{space 3}0.000{col 54}{space 4} 3.343034{col 67}{space 3} 3.374179
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 3.321613{col 26}{space 2} .0084153{col 37}{space 1}  394.71{col 46}{space 3}0.000{col 54}{space 4} 3.305119{col 67}{space 3} 3.338108
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  3.28462{col 26}{space 2} .0141399{col 37}{space 1}  232.29{col 46}{space 3}0.000{col 54}{space 4} 3.256905{col 67}{space 3} 3.312336
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, recastci(rarea)

{text}{p 2 6 2}Variables that uniquely identify margins: inequality{p_end}
{res}
{com}. 
. 
. 
. 
. 
. reg covid_vac inequality sex marriage age housing_type education occupation income_1 religion ideology i.sido_1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    17,357
{txt}{hline 13}{c +}{hline 34}   F(26, 17330)    = {res}    34.96
{txt}       Model {c |} {res} 40.0652854        26  1.54097252   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 763.797133    17,330  .044073695   {txt}R-squared       ={res}    0.0498
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0484
{txt}       Total {c |} {res} 803.862419    17,356  .046316111   {txt}Root MSE        =   {res} .20994

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      covid_vac{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}inequality {c |}{col 17}{res}{space 2}-.0036617{col 29}{space 2} .0017294{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.0070514{col 70}{space 3}-.0002719
{txt}{space 12}sex {c |}{col 17}{res}{space 2} .0109604{col 29}{space 2} .0035279{col 40}{space 1}    3.11{col 49}{space 3}0.002{col 57}{space 4} .0040455{col 70}{space 3} .0178754
{txt}{space 7}marriage {c |}{col 17}{res}{space 2}-.0394847{col 29}{space 2} .0054033{col 40}{space 1}   -7.31{col 49}{space 3}0.000{col 57}{space 4}-.0500758{col 70}{space 3}-.0288936
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0188538{col 29}{space 2} .0017681{col 40}{space 1}   10.66{col 49}{space 3}0.000{col 57}{space 4} .0153882{col 70}{space 3} .0223195
{txt}{space 3}housing_type {c |}{col 17}{res}{space 2} .0156972{col 29}{space 2} .0042254{col 40}{space 1}    3.71{col 49}{space 3}0.000{col 57}{space 4} .0074151{col 70}{space 3} .0239794
{txt}{space 6}education {c |}{col 17}{res}{space 2} .0072625{col 29}{space 2} .0018204{col 40}{space 1}    3.99{col 49}{space 3}0.000{col 57}{space 4} .0036943{col 70}{space 3} .0108306
{txt}{space 5}occupation {c |}{col 17}{res}{space 2}-.0152786{col 29}{space 2} .0135628{col 40}{space 1}   -1.13{col 49}{space 3}0.260{col 57}{space 4}-.0418631{col 70}{space 3} .0113058
{txt}{space 7}income_1 {c |}{col 17}{res}{space 2} .0080262{col 29}{space 2} .0010377{col 40}{space 1}    7.73{col 49}{space 3}0.000{col 57}{space 4} .0059922{col 70}{space 3} .0100602
{txt}{space 7}religion {c |}{col 17}{res}{space 2}-.0008089{col 29}{space 2} .0035654{col 40}{space 1}   -0.23{col 49}{space 3}0.821{col 57}{space 4}-.0077974{col 70}{space 3} .0061796
{txt}{space 7}ideology {c |}{col 17}{res}{space 2}-.0016237{col 29}{space 2} .0009064{col 40}{space 1}   -1.79{col 49}{space 3}0.073{col 57}{space 4}-.0034003{col 70}{space 3} .0001529
{txt}{space 15} {c |}
{space 9}sido_1 {c |}
{space 8}경기도  {c |}{col 17}{res}{space 2}-.0272789{col 29}{space 2} .0096905{col 40}{space 1}   -2.82{col 49}{space 3}0.005{col 57}{space 4}-.0462732{col 70}{space 3}-.0082846
{txt}{space 6}경상남도  {c |}{col 17}{res}{space 2}-.0031613{col 29}{space 2}  .011096{col 40}{space 1}   -0.28{col 49}{space 3}0.776{col 57}{space 4}-.0249106{col 70}{space 3}  .018588
{txt}{space 6}경상북도  {c |}{col 17}{res}{space 2}-.0205082{col 29}{space 2} .0119909{col 40}{space 1}   -1.71{col 49}{space 3}0.087{col 57}{space 4}-.0440116{col 70}{space 3} .0029952
{txt}{space 4}광주광역시  {c |}{col 17}{res}{space 2}  .002115{col 29}{space 2} .0127235{col 40}{space 1}    0.17{col 49}{space 3}0.868{col 57}{space 4}-.0228243{col 70}{space 3} .0270544
{txt}{space 4}대구광역시  {c |}{col 17}{res}{space 2}-.0215859{col 29}{space 2} .0120998{col 40}{space 1}   -1.78{col 49}{space 3}0.074{col 57}{space 4}-.0453027{col 70}{space 3} .0021308
{txt}{space 4}대전광역시  {c |}{col 17}{res}{space 2} .0100341{col 29}{space 2} .0130724{col 40}{space 1}    0.77{col 49}{space 3}0.443{col 57}{space 4}-.0155891{col 70}{space 3} .0356572
{txt}{space 4}부산광역시  {c |}{col 17}{res}{space 2}-.0154461{col 29}{space 2} .0111319{col 40}{space 1}   -1.39{col 49}{space 3}0.165{col 57}{space 4}-.0372658{col 70}{space 3} .0063736
{txt}{space 4}서울특별시  {c |}{col 17}{res}{space 2}-.0260649{col 29}{space 2} .0099193{col 40}{space 1}   -2.63{col 49}{space 3}0.009{col 57}{space 4}-.0455079{col 70}{space 3} -.006622
{txt}세종특별자치시  {c |}{col 17}{res}{space 2}-.0109704{col 29}{space 2} .0175172{col 40}{space 1}   -0.63{col 49}{space 3}0.531{col 57}{space 4} -.045306{col 70}{space 3} .0233652
{txt}{space 4}울산광역시  {c |}{col 17}{res}{space 2}-.0429961{col 29}{space 2} .0134919{col 40}{space 1}   -3.19{col 49}{space 3}0.001{col 57}{space 4}-.0694416{col 70}{space 3}-.0165507
{txt}{space 4}인천광역시  {c |}{col 17}{res}{space 2}-.0492962{col 29}{space 2} .0111761{col 40}{space 1}   -4.41{col 49}{space 3}0.000{col 57}{space 4}-.0712024{col 70}{space 3}  -.02739
{txt}{space 6}전라남도  {c |}{col 17}{res}{space 2}  .002259{col 29}{space 2} .0120315{col 40}{space 1}    0.19{col 49}{space 3}0.851{col 57}{space 4}-.0213239{col 70}{space 3} .0258419
{txt}{space 6}전라북도  {c |}{col 17}{res}{space 2}-.0307495{col 29}{space 2}  .012412{col 40}{space 1}   -2.48{col 49}{space 3}0.013{col 57}{space 4}-.0550783{col 70}{space 3}-.0064206
{txt}제주특별자치도  {c |}{col 17}{res}{space 2}-.0167325{col 29}{space 2} .0149169{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4} -.045971{col 70}{space 3} .0125061
{txt}{space 6}충청남도  {c |}{col 17}{res}{space 2}-.0023813{col 29}{space 2} .0126748{col 40}{space 1}   -0.19{col 49}{space 3}0.851{col 57}{space 4}-.0272251{col 70}{space 3} .0224625
{txt}{space 6}충청북도  {c |}{col 17}{res}{space 2} .0056413{col 29}{space 2} .0131283{col 40}{space 1}    0.43{col 49}{space 3}0.667{col 57}{space 4}-.0200915{col 70}{space 3} .0313741
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .8675324{col 29}{space 2} .0167503{col 40}{space 1}   51.79{col 49}{space 3}0.000{col 57}{space 4} .8347003{col 70}{space 3} .9003646
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. margins, at(inequality =(1(1)5)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    17,357
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9602385{col 26}{space 2} .0045051{col 37}{space 1}  213.15{col 46}{space 3}0.000{col 54}{space 4} .9514081{col 67}{space 3} .9690689
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .9565768{col 26}{space 2} .0029515{col 37}{space 1}  324.09{col 46}{space 3}0.000{col 54}{space 4} .9507915{col 67}{space 3} .9623622
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .9529151{col 26}{space 2} .0017633{col 37}{space 1}  540.41{col 46}{space 3}0.000{col 54}{space 4} .9494588{col 67}{space 3} .9563715
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .9492535{col 26}{space 2} .0018678{col 37}{space 1}  508.23{col 46}{space 3}0.000{col 54}{space 4} .9455924{col 67}{space 3} .9529145
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .9455918{col 26}{space 2} .0031384{col 37}{space 1}  301.30{col 46}{space 3}0.000{col 54}{space 4} .9394403{col 67}{space 3} .9517433
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, recastci(rarea)

{text}{p 2 6 2}Variables that uniquely identify margins: inequality{p_end}
{res}
{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Han\Desktop\document\불평등 연구\주제30_불평등과 백신\humanities and social science communications\data\complementary_analysis_code.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}14 Sep 2024, 00:34:33
{txt}{.-}
{smcl}
{txt}{sf}{ul off}